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Afternoon Data Analyst R Programming Jobs in Columbus, OH

DPDHL

Business Data Analyst I

Lockbourne, OH

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

DHL

Business Data Analyst I

Lockbourne, OH · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Gifthealth Inc

Sr. Data Analyst

Columbus, OH

$83K - $104K/yr

The Senior Data Analyst will collaborate closely with both internal and client-facing teams to ... Work closely with Product Engineering to ensure product features, enhancements, and changes are ...

giftHEALTH Inc

Sr. Data Analyst

Columbus, OH · On-site

$83K - $104K/yr

The Senior Data Analyst will collaborate closely with both internal and client-facing teams to ... Work closely with Product Engineering to ensure product features, enhancements, and changes are ...

Gifthealth

Sr. Data Analyst

Columbus, OH · On-site

$83K - $104K/yr

The Senior Data Analyst will collaborate closely with both internal and client-facing teams to ... Work closely with Product Engineering to ensure product features, enhancements, and changes are ...

EASE Logistics

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

... data engineering specifications to ensure they are logical and accurate and meet internal ... data analyses and making recommendations, troubleshooting technical issues, and refining process ...

EASE Logistics

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

... data engineering specifications to ensure they are logical and accurate and meet internal ... data analyses and making recommendations, troubleshooting technical issues, and refining process ...

Bath & Body Works

Sr. Data Analytics Analyst

Columbus, OH

$83K - $104K/yr

Partner with multi-functional teams across Digital, Data Science, Data Engineering, and Marketing ... Proficient in SQL and experience with Python or R * Experience with working in cloud environments

L Brands, Inc.

Sr. Data Analytics Analyst

Columbus, OH · On-site

$83K - $104K/yr

Partner with multi-functional teams across Digital, Data Science, Data Engineering, and Marketing ... Proficient in SQL and experience with Python or R * Experience with working in cloud environments

Bath and Body Works

Sr. Data Analytics Analyst

Columbus, OH

$83K - $104K/yr

Partner with multi-functional teams across Digital, Data Science, Data Engineering, and Marketing ... Proficient in SQL and experience with Python or R * Experience with working in cloud environments

Bath & Body Works

Sr. Data Analytics Analyst

Columbus, OH · On-site

$83K - $122K/yr

Partner with multi-functional teams across Digital, Data Science, Data Engineering, and Marketing ... Proficient in SQL and experience with Python or R * Experience with working in cloud environments

Bath & Body Works

Sr. Data Analytics Analyst

Columbus, OH

$83K - $104K/yr

Partner with multi-functional teams across Digital, Data Science, Data Engineering, and Marketing ... Proficient in SQL and experience with Python or R * Experience with working in cloud environments

Varsity Tutors

Data Science Tutor

Columbus, OH · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Afternoon Data Analyst R Programming information

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$32.8K

$79.8K

$131.4K

How much do afternoon data analyst r programming jobs pay per year?

As of Jun 8, 2026, the average yearly pay for afternoon data analyst r programming in Columbus, OH is $79,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 per year, depending on experience, location, and employer.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are the most commonly searched types of Data Analyst R Programming jobs in Columbus, OH? The most popular types of Data Analyst R Programming jobs in Columbus, OH are:
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Afternoon Data Analyst R Programming jobs near you

Business Data Analyst I

DPDHL

Lockbourne, OH

$70K - $115K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 28 days ago

Job description

The Business Data Analyst I role has a national salary range of $70,000 - $115,000.

For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000.

DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, and a generous PTO policy.


Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, we're looking for a Business Data Analyst I who thrives on solving complex problems, creating powerful visualizations, and delivering actionable insights. This is your chance to be at the heart of operations, influencing strategy and performance in a dynamic warehouse environment. If you're passionate about analytics, innovation, and making a difference, this role is for you. If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impact-this role is for you!


Job Description

As a Business Data Analyst I, you will play a key role in transforming operational data into strategic insights that identify opportunities, improve performance, and reduce costs. You'll collaborate with site leadership and key stakeholders to build reports, implement standard tools, and support data-driven decision-making. This role is ideal for someone with foundational analytics experience who is ready to take ownership of projects and grow into a trusted resource for data solutions.

  • Develop and maintain Power BI reports to support operational and strategic decisions
  • Full development of Power BI including data visualization and back-end data model design
  • Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements
  • Collaborate with site and sector leadership to identify opportunities for efficiency and cost reduction
  • Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs
  • Translate complex data into clear, actionable insights through presentations and reports for internal and customer use
  • Ability to leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.)
  • Manage analytics projects independently, from concept to delivery
  • Serve as a point of contact for Power BI-related questions and support


Required Experience

  • Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 1+ years of experience in data analytics, business intelligence, or a related field, required
  • Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, required
  • Proficiency in Power BI, including building dashboards and reports from scratch, required
  • Experience writing DAX expressions to automate and enhance Power BI reports, required
  • Strong understanding of statistical concepts and data modeling techniques, preferred
  • Excellent communication and presentation skills, with the ability to translate data into actionable insights, preferred
  • Ability to work independently, manage multiple priorities, and meet deadlines, required
  • Must be able to work fully onsite if role based out of a warehouse, required


Our Organization is an equal opportunity employer.

Employment Type: FULL_TIME

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